Abstract

The biological state of the cell is characterized by a complex network of interacting genes, proteins, microRNAs, as well as other molecules. In this presentation, I will show how we can model such interactions using gene regulatory network inference algorithms. I will demonstrate how we applied these methods to large-scale datasets to understand gene regulation in healthy tissues, as well as its disruption in cancer.

About Dr. Kuijjer

Marieke Kuijjer is a postdoctoral fellow working in computational cancer biology in the laboratory of John Quackenbush at the department of Biostatistics and Computational Biology of the Dana-Farber Cancer Institute and the department of Biostatistics of the Harvard T.H. Chan School of Public Health. She obtained her PhD (2013) in cancer genomics from Leiden University, the Netherlands, working in the department of Pathology on integration of multi-omics data in bone and soft tissue sarcomas.